This repo contain deep learning resources and projects for educational purposes with focus on industry + some other projects. This list is for my perosnal use, hope you may find something useful within.
- King - man + woman = Queen, check it out ! Link
- Teaching computers to understand pictures Link
- The Unreasonable Effectiveness of Recurrent Neural Networks Link
- How to generate image lables Link
- Humans last stand Link
- Neural hand writing Link
- TensorFlow Playground Link
- physics of NN Link
These are few basic models to get startd, try implement them before go further with deep learning !
- Word2vec word2vec using gensim [link][lecture 1][lecture 2]
- FeedForward net [useful background] [[Summary] (not yet!)] [[code - Keras] (not yet!)]
- Simple CNN [useful background] [[Summary] (not yet!)] [[code - Keras] (not yet!)]
- bAbI : Paper [[Summary] (not yet!)] [[code - Keras] ()]
- E2E MN : Paper [[Summary] (not yet!)] [[code - Keras] ()]
- KV MN : Paper [[Summary] (not yet!)]
- Dual RNN Paper
- Item embeddings Not yet! [[Summary] (not yet!)]
- Learn items relations Not yet! [[Summary] (not yet!)]
- Siamese net for predicting items relations Not yet! [[Summary] (not yet!)]
- Tripplet net for predicting items relations Not yet! [[Summary] (not yet!)]
- Deep MF with implicit feedback Not yet! [[Summary] (not yet!)]
- Deep and wide Not yet! [[Summary] (not yet!)]
- BPR: Bayesian Personalized Ranking from Implicit Feedback Paper [[Summary](not yet!)]
- VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback Paper [[Summary](not yet!)]
- CDL - collabprative deep learning Paper [[Summary](not yet!)]
- ConvMF Repo Talk
- Lambda MART python Repo
- From RankNet to LambdaRank to LambdaMART: An Overview (https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2010-82.pdf)
- Net2Net Paper [Summary] [Code]
- Squeez net Paper [Summary] [Code]
- Siamese net [Summary] [Code]
- Triplet net [Summary] [Code]
- Resedual net Paper [Summary] [Code]
- Inception net Paper [Summary] [Code]
- Deep Sets Paper
- Pointer networks
- Tacotron Paper Repo
- WaveNet Repo
- Parallel WaveNet
- An attention-based recurrent sequence generator (ARSG) Useful for text to speach [Paper](An attention-based recurrent sequence generator (ARSG))
- TrueSkill
- Deep Factor Graphs for Bayesian Prediction of HighDimensional Games Paper
Note: these are not deep learing but worth considering for real world applications
- Interpretable Decision sets - submodular optimization for better rule classifiers Paper
- Ask me better question - simple idea for human in the loop Paper
- Why should I trus you (LIME) - Establish trust in machine learing model Paper
- OpenNMT-py Neural machine translation (seq2seq, conv2conv, transformer, other features) Repo
- Seq2seq tuturial Link
- Basic tensorflow Tutorial
- RNNs in tensorflow a must read tutorial Part 1 Part 2 Part 3
- Retrival based chatbot - from wildml blog Tutorial
- Deep reinforcement learning form wildml Series
- Deep reinforcement learning, another series Series
- GAN image completion Tutorial
- Pix2Pix Tutorial
- Learning interpretable latent representations InfoGan Tutorial
- Google smart replay Paper
- Youtube DL recommender Paper
- Pintrest image search Paper
- Amazon stream Paper
- Visual Search at eBay Paper
- Tensorflow models Repo
- Tensorflow examples Repo
- MXNet examples Repo
- MXNet notebooks Repo
- Keras examples Repo
- Learning Deep Features for Discriminative Localization Paper
- We don't need no bounding-boxes Paper
- Faster RCNN Tutorial Repo
- Product Quantization Faiss
- Faster RCNN for pose estimation
- Vector field features for pose estimation
- Gan wit VAE for 3d pose estimation
- Image Retrieval using Scene Graphs Paper
- Love thy niehgbour
- Datasets Open images, Image net, visual genom, COCO
- Video analytics Link
- Relational reasoning Repo
- Visual Relationship Detection with Language Priors Paper
- Street 2 shop Link
- Facenet Repo
- ComputerVisionFoundation Videos Youtube
- Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
- Open Pose Link
- Cut paste and learn Paper
- From Red Wine to Red Tomato: Composition with Context Paper
- Learning by Asking Questions Paper
Forgetting in Neural networks
- Learn to remember rare events Paper
- **Inverse Autoregressive Flow repoPaper
- **Masked Autoregressive Flow Paper
- GUMBEL-SOFTMAX Paper Repo Blog
- Normalizing Flow tutorial Tutorial
- Bayes by backprob Paper
- A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Keras
- What my deep model doesn't know Link
- **Policy for large number of actions ** useful for recommendations
- Proximal Policy Optimization Blog
- Bootcamp 2017 Link
- **Graph based simi-supervised learning implementations Repo
- AlphaGo tutorial Tutorial
- Message passing neural networks Repo Paper
- **Binary neural nets **
- Neural module network